Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Adversarial Examples

Simons Institute via YouTube

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the intriguing world of adversarial examples in deep learning through this comprehensive lecture by Sébastien Bubeck from Microsoft Research. Delve into the surprising facts and challenges surrounding adversarial examples, and gain insights into the Statistical Learning Theory (SLT) framework. Discover the implications of the XPRIZE competition, examine various loss classes, and understand the concepts of VC dimension and complexity in the context of deep learning. This in-depth talk, presented as part of the Deep Learning Boot Camp at the Simons Institute, offers a thorough exploration of the subject matter for those interested in the cutting-edge developments in machine learning and artificial intelligence.

Syllabus

Introduction
Objective
Surprising Fact
The Talk
SLT Framework
XPRIZE
Loss classes
VC dimension
Complexity

Taught by

Simons Institute

Reviews

Start your review of Adversarial Examples

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.